Design a cloud-based global property rental platform
System Design: Cloud-based Global Property Rental Platform
A property dealer operates a website that lists properties, including photos, location, and rent details. The platform serves international customers, making a fast and secure user experience critical. The goal is to migrate from a traditional setup to a cloud-based infrastructure. The task is to redesign the entire system and detail the actual workflow, replacing a generic "process" box with specific components.
Functional Requirements
The platform should support the following services:
- View Service: Display property details and photos to guests.
- Search Service: Enable searching for properties based on criteria like location, price, and availability.
- Guest Service: Manage guest data, including favorites, last-viewed properties, and basic profile preferences.
- Update Service: Allow administrators or agents to create and update property listings, including uploading photos.
- Payment Service: Facilitate online payments for actions such as booking deposits or rent.
Non-Functional Requirements
- Global Reach: Support for multi-region deployment to serve international users with low latency.
- Availability & Scalability: High availability and the ability to scale resources dynamically.
- Security: Robust security measures for authentication, authorization, and payment processing.
- Observability: Comprehensive monitoring, logging, and tracing capabilities.
Deliverables
- High-level architecture diagram showing major components and data stores.
- Detailed request flows for key user journeys: search → view → favorite → pay, and listing updates.
- Justification for key design decisions, including caching strategies, consistency models, indexing approaches, multi-region deployment, and failure handling mechanisms.
- Identification of core metrics and Service Level Objectives (SLOs) for monitoring.
AI interview prep
Core dilemma
Balancing global low-latency access and data consistency for property listings and user interactions across multiple regions, while ensuring robust security and scalability for a transactional platform.
3 tradeoffs and 3 stress tests locked
Interview prep
Unlock the interviewer X-Ray rubric, tradeoff matrix, stress tests, clarifying questions, and key concepts.
Design a cloud-based global property rental platform
System Design: Cloud-based Global Property Rental Platform
A property dealer operates a website that lists properties, including photos, location, and rent details. The platform serves international customers, making a fast and secure user experience critical. The goal is to migrate from a traditional setup to a cloud-based infrastructure. The task is to redesign the entire system and detail the actual workflow, replacing a generic "process" box with specific components.
Functional Requirements
The platform should support the following services:
- View Service: Display property details and photos to guests.
- Search Service: Enable searching for properties based on criteria like location, price, and availability.
- Guest Service: Manage guest data, including favorites, last-viewed properties, and basic profile preferences.
- Update Service: Allow administrators or agents to create and update property listings, including uploading photos.
- Payment Service: Facilitate online payments for actions such as booking deposits or rent.
Non-Functional Requirements
- Global Reach: Support for multi-region deployment to serve international users with low latency.
- Availability & Scalability: High availability and the ability to scale resources dynamically.
- Security: Robust security measures for authentication, authorization, and payment processing.
- Observability: Comprehensive monitoring, logging, and tracing capabilities.
Deliverables
- High-level architecture diagram showing major components and data stores.
- Detailed request flows for key user journeys: search → view → favorite → pay, and listing updates.
- Justification for key design decisions, including caching strategies, consistency models, indexing approaches, multi-region deployment, and failure handling mechanisms.
- Identification of core metrics and Service Level Objectives (SLOs) for monitoring.